LLCM (Low-Light Cross-Modality Person Dataset)
Introduced by Zhang et al. in Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
LLCM (Low-Light Cross-Modality) dataset is constructed to facilitate the study of low-light cross-modality person Re-ID task. It contains 46,767 person images of 1,064 identities, and each identity is captured by at least one RGB camera and one IR camera. The LLCM dataset is divided into a training set and a testing set at a ratio about 2:1. The training set contains 30,921 bounding boxes of 713 identities (16,946 bounding boxes are from the VIS modality and 13,975 bounding boxes are from the IR modality), and the testing set contains 13,909 bounding boxes of 351 identities (8,680 bounding boxes are from the VIS modality and 7,166 bounding boxes are from the IR modality).
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
